Matches in SemOpenAlex for { <https://semopenalex.org/work/W4290876784> ?p ?o ?g. }
- W4290876784 abstract "Triangular meshes have been actively used in computer graphics to represent 3D shapes. However, due to their non-uniform and irregular nature, learning such data with a Deep Neural Network is not straightforward. Transforming mesh data to simpler structures (e.g., voxel grids, point clouds, or multi-view 2D images) leads to other issues including spatial information loss and scalability. Traditional descriptors for mesh data simply extract hand-crafted features, which might not be effective in various environments. Several deep architectures that directly consume mesh data have been proposed, but their input features are still heuristic and unable to fully capture both geodesic and geometric characteristics of a mesh. In addition, their model architectures are not designed to be capable of providing visual explanations of their decision making." @default.
- W4290876784 created "2022-08-12" @default.
- W4290876784 creator A5036440250 @default.
- W4290876784 creator A5071502137 @default.
- W4290876784 date "2022-08-14" @default.
- W4290876784 modified "2023-10-14" @default.
- W4290876784 title "ExMeshCNN" @default.
- W4290876784 cites W1596547119 @default.
- W4290876784 cites W1644641054 @default.
- W4290876784 cites W1787224781 @default.
- W4290876784 cites W1955462214 @default.
- W4290876784 cites W2091791686 @default.
- W4290876784 cites W2130646036 @default.
- W4290876784 cites W2254644702 @default.
- W4290876784 cites W2498056627 @default.
- W4290876784 cites W2791092480 @default.
- W4290876784 cites W2793310866 @default.
- W4290876784 cites W2891396148 @default.
- W4290876784 cites W2891503716 @default.
- W4290876784 cites W2902078856 @default.
- W4290876784 cites W2903179262 @default.
- W4290876784 cites W2962858109 @default.
- W4290876784 cites W2963021451 @default.
- W4290876784 cites W2963727135 @default.
- W4290876784 cites W2963830382 @default.
- W4290876784 cites W2964141345 @default.
- W4290876784 cites W2972192700 @default.
- W4290876784 cites W3035472394 @default.
- W4290876784 cites W3102104021 @default.
- W4290876784 cites W3102970498 @default.
- W4290876784 cites W3109462203 @default.
- W4290876784 cites W3176211557 @default.
- W4290876784 cites W3205353813 @default.
- W4290876784 doi "https://doi.org/10.1145/3534678.3539463" @default.
- W4290876784 hasPublicationYear "2022" @default.
- W4290876784 type Work @default.
- W4290876784 citedByCount "0" @default.
- W4290876784 crossrefType "proceedings-article" @default.
- W4290876784 hasAuthorship W4290876784A5036440250 @default.
- W4290876784 hasAuthorship W4290876784A5071502137 @default.
- W4290876784 hasBestOaLocation W42908767841 @default.
- W4290876784 hasConcept C108583219 @default.
- W4290876784 hasConcept C108882727 @default.
- W4290876784 hasConcept C121332964 @default.
- W4290876784 hasConcept C121684516 @default.
- W4290876784 hasConcept C131979681 @default.
- W4290876784 hasConcept C134306372 @default.
- W4290876784 hasConcept C135628077 @default.
- W4290876784 hasConcept C154945302 @default.
- W4290876784 hasConcept C165818556 @default.
- W4290876784 hasConcept C173801870 @default.
- W4290876784 hasConcept C181145010 @default.
- W4290876784 hasConcept C194401833 @default.
- W4290876784 hasConcept C2524010 @default.
- W4290876784 hasConcept C28719098 @default.
- W4290876784 hasConcept C31487907 @default.
- W4290876784 hasConcept C33923547 @default.
- W4290876784 hasConcept C41008148 @default.
- W4290876784 hasConcept C48044578 @default.
- W4290876784 hasConcept C50644808 @default.
- W4290876784 hasConcept C54170458 @default.
- W4290876784 hasConcept C77088390 @default.
- W4290876784 hasConcept C77660652 @default.
- W4290876784 hasConcept C97355855 @default.
- W4290876784 hasConceptScore W4290876784C108583219 @default.
- W4290876784 hasConceptScore W4290876784C108882727 @default.
- W4290876784 hasConceptScore W4290876784C121332964 @default.
- W4290876784 hasConceptScore W4290876784C121684516 @default.
- W4290876784 hasConceptScore W4290876784C131979681 @default.
- W4290876784 hasConceptScore W4290876784C134306372 @default.
- W4290876784 hasConceptScore W4290876784C135628077 @default.
- W4290876784 hasConceptScore W4290876784C154945302 @default.
- W4290876784 hasConceptScore W4290876784C165818556 @default.
- W4290876784 hasConceptScore W4290876784C173801870 @default.
- W4290876784 hasConceptScore W4290876784C181145010 @default.
- W4290876784 hasConceptScore W4290876784C194401833 @default.
- W4290876784 hasConceptScore W4290876784C2524010 @default.
- W4290876784 hasConceptScore W4290876784C28719098 @default.
- W4290876784 hasConceptScore W4290876784C31487907 @default.
- W4290876784 hasConceptScore W4290876784C33923547 @default.
- W4290876784 hasConceptScore W4290876784C41008148 @default.
- W4290876784 hasConceptScore W4290876784C48044578 @default.
- W4290876784 hasConceptScore W4290876784C50644808 @default.
- W4290876784 hasConceptScore W4290876784C54170458 @default.
- W4290876784 hasConceptScore W4290876784C77088390 @default.
- W4290876784 hasConceptScore W4290876784C77660652 @default.
- W4290876784 hasConceptScore W4290876784C97355855 @default.
- W4290876784 hasFunder F4320322120 @default.
- W4290876784 hasLocation W42908767841 @default.
- W4290876784 hasOpenAccess W4290876784 @default.
- W4290876784 hasPrimaryLocation W42908767841 @default.
- W4290876784 hasRelatedWork W1509797150 @default.
- W4290876784 hasRelatedWork W2042254269 @default.
- W4290876784 hasRelatedWork W2072790323 @default.
- W4290876784 hasRelatedWork W2164665799 @default.
- W4290876784 hasRelatedWork W249619493 @default.
- W4290876784 hasRelatedWork W2539205866 @default.
- W4290876784 hasRelatedWork W3020686182 @default.
- W4290876784 hasRelatedWork W3118880483 @default.
- W4290876784 hasRelatedWork W3156072581 @default.